🧠 The AI Engineer Roadmap
Two tracks. One destination: an AI engineer who can build it and ship it to production.
No fluff. Every resource is here for a reason, and every stage builds on the last.
Pick your track
This roadmap comes in two branches. Find yourself below.
🧭 Intermediate TrackFrom zero to job-ready. You want to become an AI engineer. Start here. Eight stages take you from Python and the math, through neural networks, frameworks, RAG, and APIs, all the way to deploying on the cloud. You'll learn:
Start here if: you're new, self-taught, or filling gaps before your first AI role. |
🚀 Advanced TrackFrom job-ready to production. You can already build and deploy an app — now you want to distinguish yourself. Five stages on the cross-cutting concerns that break the moment real users arrive, built on the Microsoft Foundry ecosystem. You'll learn:
Start here if: you can ship a demo and want to run agents in production at scale. |
The full path at a glance
INTERMEDIATE → build & deploy your first AI apps
01 Python & Software Design 05 RAG
02 Math Foundations 06 FastAPI
03 Neural Networks 07 System Design
04 AI Frameworks 08 Cloud & Deployment (AZ-900)
▼ you can build and ship on your own
ADVANCED → run AI in production, at scale
01 Containerization & Infrastructure
02 Security & Identity
03 State Persistence & Memory
04 Scaling
05 Observability & Evaluation
How to use this
- New to the field? Start at Intermediate Stage 01 and go in order. Don't skip ahead.
- Already shipping? Jump to the Advanced Track — but skim the Intermediate stages it cross-references.
- This isn't about collecting certificates. It's about building the mental model of an AI engineer, layer by layer.
The Advanced Track tracks a fast-moving ecosystem (current as of Microsoft Build 2026) — always cross-check the linked docs for the latest.
If this helped you, share it with someone who's serious about AI.